Data Analyst

MIT Lincoln Laboratory • Lexington, MA • 3h ago

The Homeland Protection Systems Group works with the U.S. Government and other stakeholders to develop, assess, and rapidly transition advanced technologies to address emerging national security priorities in the homeland. In recent years, the group has successfully deployed innovative technology solutions to safeguard the National Airspace, population centers, and critical infrastructure. Leveraging our expertise in complex systems analysis, advanced algorithm development, and hardware prototyping, our team of analysts, engineers, and technologists applies cutting-edge techniques in data analysis, predictive analytics, and systems engineering to solve complex Homeland Protection problems and strengthen national security.

Job Description

Our group is seeking highly motivated data scientists interested in solving challenging technical problems that impact the real world. As part of an interdisciplinary team, our assistant technical staff support projects through physics-based modeling, data analysis, and algorithm development using a combination of advanced analytics and critical reasoning. Technical staff employ computing environments such as MATLAB, Python, or Julia to create quantitative analysis products and assist project leads in developing high-impact briefings for Government change-makers. Upon joining the group, the candidate will work with an experienced team to learn about the Homeland Protection mission and develop a career path that matches their technical interests.

Requirements

Bachelor's degree in a technical discipline (e.g., Physics, Mathematics, Applied Math, Engineering, Data Science, Computer Science or similar field)

Strong expertise in MATLAB, Python, or Julia

Demonstrated proficiency working with data (e.g., collection, curation, transformation, processing, visualization)

Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series analysis, Monte Carlo simulation, etc.)

Basic knowledge of descriptive and inferential statistics (e.g., graphical techniques, predictive inference, etc.)

Ability to work well as part of a team and rapidly learn new skills

Desired Requirements

Interest in National Security

Experience with large, complex datasets (i.e., big data)

Experience with source control management tools like Git

Experience with machine learning frameworks

Strong presentation and communication skills

Recent Graduate Hiring Range: [[gradRange]]

Experienced Hiring Range: [[experiencedRange]]

Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:

Comprehensive health, dental, and vision plans

MIT-funded pension

Matching 401K

Paid leave (including vacation, sick, parental, military, etc.)

Tuition reimbursement and continuing education programs

Mentorship programs

A range of work-life balance options

... and much more!

Please visit our Benefits page (https://hr.mit.edu/benefits) for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks (https://hr.mit.edu/benefits/additional) .

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

Requisition ID: [[id]]

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